As the AI and data science arena continuously evolves at a tremendous pace, technology is revolutionizing how we think about ...

The mitochondrion plays critical roles in cellular function, making it a prime organelle to target for fundamental studies, ...

In a nutshell Recent research reveals that high-quality deepfakes unintentionally retain the heartbeat patterns from their ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a ...

Users first provide an image of the desired texture, and then a fine-tuned variational autoencoder is used to translate the ...

Until now, many deepfake detection systems, such as FakeCatcher or DeepFakeON-Phys, relied on global HR signal absence as a ...

Self-supervised learning approaches, such as masked autoencoder (MAE) reconstruction and contrastive learning, offer a promising solution by reducing reliance on labeled data. Nonetheless, Transformer ...

This paper introduces ARGAE-MSCE, an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a Multi-scale Chebyshev Convolutional (ChebConv) Encoder (MSCE), designed for unsupervised anomaly ...